Parametric modeling of localized melanoma prognosis and outcome

Shouluan Ding, Seng Jaw Soong, Hui Yi Lin, Renee Desmond, Charles M. Balch

Research output: Contribution to journalArticle

Abstract

This investigation explored the most suitable parametric model for melanoma prognosis and compared it with the Cox model. Cox-Snell residuals and survival function plots were applied to assess whether the generalized gamma (GG) model was the best-fit parametric model for the data. The GG model is a powerful alternative to the Cox model in prognostic modeling. The GG model offers an advantage of explicit and flexible individualized hazard functions over the Cox model and provides a clinically useful risk assessment over time to aid clinicians in formulating patient treatment, follow-up plans, and clinical trial design and analysis.

Original languageEnglish (US)
Pages (from-to)732-747
Number of pages16
JournalJournal of Biopharmaceutical Statistics
Volume19
Issue number4
DOIs
StatePublished - Jul 2009

Fingerprint

Parametric Modeling
Melanoma
Cox Model
Prognosis
Proportional Hazards Models
Parametric Model
Hazard Function
Survival Function
Risk Assessment
Clinical Trials
Model
Survival
Alternatives
Modeling
Therapeutics

Keywords

  • Accelerated failure time models
  • Cox model
  • Generalized gamma distribution
  • Melanoma survival data
  • Mortality
  • Parametric models

ASJC Scopus subject areas

  • Pharmacology (medical)
  • Pharmacology
  • Statistics and Probability

Cite this

Parametric modeling of localized melanoma prognosis and outcome. / Ding, Shouluan; Soong, Seng Jaw; Lin, Hui Yi; Desmond, Renee; Balch, Charles M.

In: Journal of Biopharmaceutical Statistics, Vol. 19, No. 4, 07.2009, p. 732-747.

Research output: Contribution to journalArticle

Ding, Shouluan ; Soong, Seng Jaw ; Lin, Hui Yi ; Desmond, Renee ; Balch, Charles M. / Parametric modeling of localized melanoma prognosis and outcome. In: Journal of Biopharmaceutical Statistics. 2009 ; Vol. 19, No. 4. pp. 732-747.
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